In the present digital period, Artificial Intelligence (AI) is impacting the future of various aspects of Quality Assurance (QA). This evolution has resulted in strategies for ensuring quality is effectively integrated into development processes.

REST APIs are emerging as a simple and secure way to access sensitive government data, serving as conduits that enable seamless access and manipulation of data across various government systems. Government agencies face the pressing need to modernize their IT infrastructure to improve service delivery, enhance operational efficiency, and ensure the security of data exchanges.

The process of building, code signing, and publishing mobile apps can be tedious and time-consuming, especially when working in a large team and also needing to share builds with QA engineers. That’s why Codemagic offers a cloud-based CI/CD service for mobile apps that automates the whole workflow with minimal time-effort on configuration. But what if you want to use Codemagic’s features locally or in another CI/CD environment, such as GitHub Actions?

Wondering which is the best way to host your business applications and IT infrastructure? Many enterprises are transitioning from on-premises software to cloud computing. On the other hand, several established companies are investing their capital in on-premises software. Both of these deployment models have advantages and drawbacks, and you can zero in on the right option by considering your specific requirements.

In our last post, we looked at the basics of RSpec and explored how well it works with Behavior Driven Development in Ruby. Now, we will look at specific types of RSpec tests for different parts of a Ruby on Rails application. Let's dive straight in!

Fivetran is recognized for its strength in data transformation and data quality.

API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.

A data lake is a main storage repository that can hold vast amounts of raw, unstructured data. A data lake is not the same as a data warehouse, which maintains data in structured files. Five key takeaways about data lake tools: A data warehouse uses a hierarchical structure, whereas the architecture of a data lake is flat.

Reusable UI components are user interface widgets or elements that can be used in various places in a web project. These components are typically small and created for a specific functionality. Typically, you write the code once and then import the UI components wherever needed. For example, you can create a card component that displays certain information or have a navigation bar that will appear at the top of all web pages. Such UI elements can be imported and added to your desired web page.

In the face of Canada’s housing crisis, the University of British Columbia’s Housing Assessment Resource Tools (HART) set out to make government census data more accessible. By developing more intuitive tools and offering valuable resources, HART plays a key role in providing essential information for governments, housing developers, and the public to make informed, data-driven decisions.